Description: Part of this article is a request for good and bad spreadsheet models in order to build up a repository. The other part of this article deals with some of the worst formulas found within Excel spreadsheet.

Description: The author reviews a book the debunks some of the hype we read about using quantity at the expense of quality. She also points out some unrealistic outcomes when data scientists lack business knowledge.

Description: Letters to the editor about the feature article “The Dementia Epidemic: Are We Ready?” that ran in the December 2010/January 2011 issue of The Actuary.

Description: After research involving auto insurance is retracted due to fraud, I revisit my own book review and unskeptical quoting of that now-debunked research. A lesson in ASOP 23, on Data Quality, ensues, as it seems data in the research was falsified. There is also a lesson in ASOP 56, Modeling, which includes aspects of relying on outside experts for model input. At the end of it all, the value of our actuarial professional standards, in light of other professions seemingly having no standards (or no serious repercussions for breaching said standards), shines through. Also, be skeptical of 'one simple trick' approaches to transform the insurance industry.

Description: A summary of Modeling Section-sponsored sessions at the 2016 Life/Annuity Symposium, covering model risk management, model governance, and model efficiency.

Description: This article summarizes Discover Your Inner Economist, a self-help book with practical advice for dealing with particular situations, informed by hard data.

Description: The author suggests aptitude testing is time well spent if you are trying to choose between possible paths, or would like to be able to find the path that best fits you.

Description: This article introduces the Younger Actuaries Network YAN which places its focus on people who are looking to grow their career—whether still taking exams, or newly credentialed, or even those a little further along in their careers looking to build their business skills beyond exams.

Description: The author, Mary Pat Campbell, participated in the 4th season of the Good Judgment Project, a prediction tournament. She explains the basic metric used for evaluating predictions in the contest and some of the lessons learned from her participation.

Description: An overview of Dan Ariely’s body of research.